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| 1 | Seasonal variation of eddy kinetic energy in the South China Sea显示文摘Mesoscale eddy activity and its modulation mechanism in the South China Sea (SCS) are investigated with newly reprocessed satellite altimetry observations and hydrographic data. The eddy kinetic energy (EKE) level of basin-wide averages show a distinct seasonal cycle with the maximum in August-December and the minimum in February-May. Furthermore, the seasonal pattern of EKE in the basin is dominated by region offshore of central Vietnam (OCV), southwest of Taiwan Island (SWT), and southwest of Luzon (SWL), which are also the breeding grounds of mesoscale eddies in the SCS. Instability theory analysis suggests that the seasonal cycle of EKE is modulated by the baroclinic instability of the mean flow. High eddy growth rate (EGR) is found in the active eddy regions. Vertical velocity shear in the upper 50-500 m is crucial for the growth of baroclinic instability, leading to seasonal EKE evolution in the SCS. | WANG Hui WANG Dakui LIU Guimei WU Huiding LI Ming | 2012 | Acta Oceanologica Sinica2012，31，1： | 11 |
| 2 | Assimilating operational SST and sea ice analysis data into an operational circulation model for the coastal seas of China显示文摘The prediction of sea surface temperature(SST) is an essential task for an operational ocean circulation model. A sea surface heat flux, an initial temperature field, and boundary conditions directly affect the accuracy of a SST simulation. Here two quick and convenient data assimilation methods are employed to improve the SST simulation in the domain of the Bohai Sea, the Yellow Sea and the East China Sea(BYECS). One is based on a surface net heat flux correction, named as Qcorrection(QC), which nudges the flux correction to the model equation; the other is ensemble optimal interpolation(En OI), which optimizes the model initial field. Based on such two methods, the SST data obtained from the operational SST and sea ice analysis(OSTIA) system are assimilated into an operational circulation model for the coastal seas of China. The results of the simulated SST based on four experiments, in 2011, have been analyzed. By comparing with the OSTIA SST, the domain averaged root mean square error(RMSE) of the four experiments is 1.74, 1.16, 1.30 and 0.91°C, respectively; the improvements of assimilation experiments Exps 2, 3 and 4 are about 33.3%, 25.3%, and 47.7%, respectively.Although both two methods are effective in assimilating the SST, the En OI shows more advantages than the QC,and the best result is achieved when the two methods are combined. Comparing with the observational data from coastal buoy stations, show that assimilating the high-resolution satellite SST products can effectively improve the SST prediction skill in coastal regions. | JI Qiyan ZHU Xueming WANG Hui LIU Guimei GAO Shan JI Xuanliang XU Qing | 2015 | Acta Oceanologica Sinica2015，34，7： | 7 |
| 3 | Correlation of Gut Microbiome Between ASD Children and Mothers and Potential Biomarkers for Risk Assessment显示文摘Variation of maternal gut microbiota may increase the risk of autism spectrum disorders(ASDs) in offspring. Animal studies have indicated that maternal gut microbiota is related to neurodevelopmental abnormalities in mouse offspring, while it is unclear whether there is a correlation between gut microbiota of ASD children and their mothers. We examined the relationships between gut microbiome profiles of ASD children and those of their mothers, and evaluated the clinical discriminatory power of discovered bacterial biomarkers. Gut microbiome was profiled and evaluated by 16S ribosomal RNA gene sequencing in stool samples of 59 mother–child pairs of ASD children and 30 matched mother–child pairs of healthy children. Significant differences were observed in the gut microbiome composition between ASD and healthy children in our Chinese cohort. Several unique bacterial biomarkers, such as Alcaligenaceae and Acinetobacter, were identified. Mothers of ASD children had more Proteobacteria, Alphaproteobacteria, Moraxellaceae, and Acinetobacter than mothers of healthy children. There was a clear correlation between gut microbiome profiles of children and their mothers; however, children with ASD still had unique bacterial biomarkers, such as Alcaligenaceae, Enterobacteriaceae, and Clostridium. Candidate biomarkers discovered in this study had remarkable discriminatory power. The identified patterns of mother–child gut microbiome profiles may be important for assessing risks during the early stage and planning of personalized treatment and prevention of ASD via microbiota modulation. | Ning Li Junjie Yang Jiaming Zhang Cheng Liang Ying Wang Bin Chen Changying Zhao Jingwen Wang Guangye Zhang Dongmei Zhao Yi Liu Lehai Zhang Jun Yang Guimei Li Zhongtao Gai Lei Zhang Guoping Zhao | 2019 | Genomics, Proteomics & Bioinformatics2019，17，1： | 6 |
| 4 | Numerical study and prediction of nuclear contaminant transport from Fukushima Daiichi nuclear power plant in the North Pacific Ocean显示文摘On March 11,2011,a large earthquake and subsequent tsunami near the east coast of Japan destroyed the Fukushima Daiichi nuclear power plant(FD-NPP),causing a massive release of nuclear contaminants.In this paper,a Pacific basin-wide physical dispersion model is developed and used to investigate the transport of nuclear contaminants.The Pacific circulation model,based on the Regional Ocean Modeling System(ROMS),is forced with air-sea flux climatology derived from COADS(the Comprehensive Ocean-Atmosphere Data Set).It is shown that ocean current dominates nuclear contaminant transport.Following the Kuroshio Extension and North Pacific Current,nuclear contaminants at the surface will move eastward in the Pacific as far as 140°W,thereafter dividing into two branches.For the south branch,nuclear contaminants will be transported westward by the equatorial current,and can reach the Philippines after 10 years' time.In contrast,the north branch will arrive at the American west coast and then migrate to the Bering Sea.At 200 m water depth,part of the nuclear materials will move southwestward along with deep ocean circulation,which could potentially reach the east coast of Taiwan.The other part will move to the west coast of America and separate into two branches.One will move northward along the west coast of Alaska,while the other will travel southward to the Hawaiian Islands.The transport of radiation contaminants below 500 m is slow,and will primarily remain in the central Pacific.The physical dispersion model results show that high concentrations of the radioactive isotope cesium-137(137 Cs) will move eastward and reach the central Pacific and west coast of North America in two and eight years,respectively.The sea areas influenced by the nuclear contaminants continue to expand,while peak concentrations decrease in the North Pacific. | WANG Hui WANG ZhaoYi ZHU XueMing WANG DaKui LIU GuiMei | 2012 | Chinese Science Bulletin2012，57，26： | 6 |
| 5 | Seasonal variations of phytoplankton phosphorus stress in the Yellow Sea Cold Water Mass显示文摘The Yellow Sea is located between the China Mainland and the Korean Peninsula, representing a typical shallow epicontinental sea. The Yellow Sea Cold Water Mass(YSCWM) is one of the most important physical features in the Yellow Sea. The characteristics of vertical profiles and seasonal variations of biogenic elements in the YSCWM may lead the variations of nutrient availability(e.g., phosphorus) and phosphorus stress of phytoplankton. In this study, the authors surveyed the seasonal variations of phytoplankton phosphorus stress with emphasis on the effect of the YSCWM during the four cruises in April and October 2006, March and August 2007. Using both bulk and single-cell alkaline phosphatase activity(APA) assays, this study evaluated phosphorus status of phytoplankton community, succession of phytoplankton community and ecophysiological responses of phytoplankton to phosphorus in the typical region of the YSCWM. With the occurrence of the YSCWM, especially the variations of concentration of dissolved inorganic phosphorus(DIP), the results of bulk APA appeared corresponding seasonal variations. Along Transects A and B, the mean APA in August was the highest, and that in March was the lowest. According to the ELF-labeled assay's results, seasonal variations of the ELF-labeled percentages within dominant species indicated that diatoms were dominant in March, April and October, while dinoflagellates were dominant in August. During the four cruises, the ELF-labeled percentages of diatoms except Paralia sulcata showed that diatoms were not phosphorus deficient in April 2006 at all, but suffered from severe phosphorus stress in August 2007. In comparison, the ELF-labeled percentages of dinoflagellates were all above 50% during the four time series, which meant dinoflagellates such as Alexandrium and Scrippsiella, sustained perennial phosphorus stress. | WANG Dan HUANG Bangqin LIU Xin LIU Guimei WANG Hui | 2014 | Acta Oceanologica Sinica2014，33，10： | 5 |
| 6 | Chlorophyll a increase induced by surface winds in the northern South China Sea显示文摘The response of chlorophyll a (Chl a) concentration to wind stress is analyzed in the South China Sea (SCS), using in-situ data of Chl a and remote sensing data (QuikScat-sea surface wind (SSW), AVHRR-sea surface temperature (SST), AVISO merged-sea level anomalies (SLA), SeaWiFSderived Chl a and MODIS Terra-derived Chl a) in August/September/October 2004, 2006 and 2009. The variability of SSW, SST and SLA 7 d before in-situ Chl a sampling (including the work day of in-situ Chl a sampling) with the same latitude and longitude of the study area are investigated, and the correlation coefficients are calculated between these hydrographic factors and in-situ Chl a concentration. The results show that the Chl a-SSW correlation coefficients at upper layers (such as 0 m and 25 m) are more significant than those at deeper layers (such as 50, 75 and 100 m) 1-3 d before, which indicates that there is a time lag of strong surface winds stimulating phytoplankton bloom. By analyzing the relationship among the daily remote sensing derived (RSderived) SSW, SST, SLA and 3 d averaged SeaWiFS/MODIS-derived Chl a concentration in the northern SCS in September 2004 and 2009 respectively, it shows that the intensity and speed of surface winds could have great influence on extend of Chl a increase. If surface winds reach 4-5 m/s over, Chl a concentration would increase 1-3 d after the process of strong surface winds in open sea area of the northern SCS mainly during September. | GAO Shan WANG Hui LIU Guimei HUANG Liangmin SONG Xingyu | 2012 | Acta Oceanologica Sinica2012，31，4： | 4 |
| 7 | Parameter sensitivity study of the biogeochemical model in the China coastal seas显示文摘In order to develop a coupled basin scale model of ocean circulation and biogeochemical cycling,we present a biogeochemical model including 12 components to study the ecosystem in the China coastal seas(CCS).The formulation of phytoplankton mortality and zooplankton growth are modified according to biological characteristics of CCS.The four sensitivity biological parameters,zooplankton assimilation efficiency rate(ZooAE_N),zooplankton basal metabolism rate(ZooBM),maximum specific growth rate of zooplankton(μ_(20)) and maximum chlorophyll to carbon ratio(Chl2C_m) are obtained in sensitivity experiments for the phytoplankton,and experiments about the parameter μ_(20'),half-saturation for phytoplankton NO_3 uptake(K_(NO_3)) and remineralization rate of small detritusN(SDeRRN) are conducted.The results demonstrate that the biogeochemical model is quite sensitive to the zooplankton grazing parameter when it ranges from 0.1 to 1.2 d^(-1).The K_(NO_3) and SDeRRN also play an important role in determining the nitrogen cycle within certain ranges.The sensitive interval of KNO_3 is from 0.1 to 1.5(mmol/m^3)^(-1),and interval of SEdRRN is from 0.01 and 0.1 d^(-1).The observational data from September 1998 to July 2000 obtained at SEATS station are used to validate the performance of biological model after parameters optimization.The results show that the modified model has a good capacity to reveal the biological process features,and the sensitivity analysis can save computational resources greatly during the model simulation. | JI Xuanliang LIU Guimei GAO Shan WANG Hui | 2015 | Acta Oceanologica Sinica2015，34，12： | 4 |
| 8 | Assimilating the along-track sea level anomaly into the regional ocean modeling system using the ensemble optimal interpolation显示文摘The ensemble optimal interpolation(EnOI) is applied to the regional ocean modeling system(ROMS) with the ability to assimilate the along-track sea level anomaly(TSLA). This system is tested with an eddy-resolving system of the South China Sea(SCS). Background errors are derived from a running seasonal ensemble to account for the seasonal variability within the SCS. A fifth-order localization function with a 250 km localization radius is chosen to reduce the negative effects of sampling errors. The data assimilation system is tested from January 2004 to December 2006. The results show that the root mean square deviation(RMSD) of the sea level anomaly decreased from 10.57 to 6.70 cm, which represents a 36.6% reduction of error. The data assimilation reduces error for temperature within the upper 800 m and for salinity within the upper 200 m, although error degrades slightly at deeper depths. Surface currents are in better agreement with trajectories of surface drifters after data assimilation. The variance of sea level improves significantly in terms of both the amplitude and position of the strong and weak variance regions after assimilating TSLA. Results with AGE error(AGE) perform better than no AGE error(NoAGE) when considering the improvements of the temperature and the salinity. Furthermore, reasons for the extremely strong variability in the northern SCS in high resolution models are investigated. The results demonstrate that the strong variability of sea level in the high resolution model is caused by an extremely strong Kuroshio intrusion. Therefore, it is demonstrated that it is necessary to assimilate the TSLA in order to better simulate the SCS with high resolution models. | LYU Guokun WANG Hui ZHU Jiang WANG Dakui XIE Jiping LIU Guimei | 2014 | Acta Oceanologica Sinica2014，33，7： | 4 |
| 9 | Comparison of air-sea CO2 flux and biological productivity in the South China Sea,East China Sea,and Yellow Sea:a three-dimensional physical-biogeochemical modeling study显示文摘Marginal seas play important roles in regulating the global carbon budget, but there are great uncertainties in estimating carbon sources and sinks in the continental margins. A Pacific basin-wide physical-biogeochemical model is used to estimate primary productivity and air-sea CO_2 flux in the South China Sea(SCS), the East China Sea(ECS), and the Yellow Sea(YS). The model is forced with daily air-sea fluxes which are derived from the NCEP2 reanalysis from 1982 to 2005. During the period of time, the modeled monthly-mean air-sea CO_2 fluxes in these three marginal seas altered from an atmospheric carbon sink in winter to a source in summer. On annualmean basis, the SCS acts as a source of carbon to the atmosphere(16 Tg/a, calculated by carbon, released to the atmosphere), and the ECS and the YS are sinks for atmospheric carbon(–6.73 Tg/a and –5.23 Tg/a, respectively,absorbed by the ocean). The model results suggest that the sea surface temperature(SST) controls the spatial and temporal variations of the oceanic pCO_2 in the SCS and ECS, and biological removal of carbon plays a compensating role in modulating the variability of the oceanic pCO_2 and determining its strength in each sea,especially in the ECS and the SCS. However, the biological activity is the dominating factor for controlling the oceanic pCO_2 in the YS. The modeled depth-integrated primary production(IPP) over the euphotic zone shows seasonal variation features with annual-mean values of 293, 297, and 315 mg/(m^2·d) in the SCS, the ECS, and the YS, respectively. The model-integrated annual-mean new production(uptake of nitrate) values, as in carbon units, are 103, 109, and 139 mg/(m^2·d), which yield the f-ratios of 0.35, 0.37, and 0.45 for the SCS, the ECS, and the YS, respectively. Compared to the productivity in the ECS and the YS, the seasonal variation of biological productivity in the SCS is rather weak. The atmospheric pCO_2 increases from 1982 to 2005, which is consistent with the anthropogenic CO_2 input to the atmosphere. The oceanic pCO_2 increases in responses to the atmospheric pCO_2 that drives air-sea CO_2 flux in the model. The modeled increase rate of oceanic pCO_2 is0.91 μatm/a in the YS, 1.04 μatm/a in the ECS, and 1.66 μatm/a in the SCS, respectively. | JI Xuanliang LIU Guimei GAO Shan WANG Hui ZHANG Miaoyin | 2017 | Acta Oceanologica Sinica2017，36，12： | 3 |
| 10 | Role of Ekman Transport Versus Ekman Pumping in Driving Summer Upwelling in the South China Sea显示文摘Relative roles of Ekman transport and Ekman pumping in driving summer upwelling in the South China Sea(SCS) are examined using QuikSCAT scatterometer wind data.The major upwelling regions in the SCS are the coastal regions east and southeast of Vietnam(UESEV),east and southeast of Hainan Island(UESEH),and southeast of Guangdong province(USEG).It is shown that the Ekman transport due to alongshore winds and Ekman pumping due to offshore wind stress curl play different roles in the three upwelling systems.In UESEV,Ekman pumping and Ekman transport are equally important in generating upwelling.The Ekman transport increases linearly from 0.49 Sv in May to 1.23 Sv in August,while the Ekman pumping increases from 0.36 to 1.22 Sv during the same period.In UESEH,the mean estimates of Ekman transport and Ekman pumping are 0.14 and 0.07 Sv,respectively,indicating that 33% of the total wind-driven upwelling is due to Ekman pumping.In USEG,the mean Ekman transport is 0.041 Sv with the peak occurring in July,while Ekman pumping is much smaller(0.003 on average),indicating that the upwelling in this area is primarily driven by Ekman transport.In the summers of 2003 and 2007 following El Ni o-Southern Oscillation(ENSO) events,both Ekman transport and Ekman pumping decrease in UESEV due to the abnormally weak southwest monsoon.During the same events,however,Ekman transport is slightly enhanced and Ekman pumping is weakened in UESEH and USEG. | WANG Dakui WANG Hui LI Ming LIU Guimei WU Xiangyu | 2013 | Journal of Ocean University of China2013，12，3： | 3 |
| 11 | A three-dimensional coupled physical-biological model study in the spring of 1993 in the Bohai Sea of China显示文摘A three-dimensional (3-D) coupled physical and biological model was used to investigate the physical processes and their influence on the ecosystem dynamics of the Bohai Sea of China. The physical processes include M2 tide, time-varying wind forcing and river discharge. Wind records from 1 to 31 May in 1993 were selected to force the model. The biological model is based on a simple, nitrate and phosphate limited, lower trophic food web system. The simulated results showed that variation of residual currents forced by M2 tide, river discharge and time-varying wind had great impact on the distribution of phytoplankton biomass in the Laizhou Bay. High phytoplankton biomass appeared in the upwelling region. Numerical experiments based on the barotropic model and baroclinic model with no wind and water discharge were also conducted. Differences in the results by the baroclinic model and the barotropic model were significant: more patches appeared in the baroclinic model comparing with the barotropic model. And in the baroclinic model, the subsurface maximum phytoplankton biomass patches formed in the stratified water. | WANG Hui LIU Guimei SUN Song HAN Boping FU Xiang | 2007 | Acta Oceanologica Sinica2007，26，6： | 3 |
| 12 | Spatio-temporal variability of chlorophyll a and its responses to sea surface temperature, winds and height anomaly in the western South China Sea显示文摘To understand the response of marine ecosystem to environmental factors, the oceanographic (physical and biochemical) data are analyzed to examine the spatio-temporal distributions of chlorophyll a (Chl a) associated with surface temperature, winds and height anomaly for long periods (1997-2008) in the western South China Sea (SCS). The results indicate that seasonal and spatial distributions of Chl a are primarily influenced by monsoon winds and hydrography. A preliminary Empirical Orthogonal Function (EOF) analysis of remotely sensed data is used to assess basic characteristics of the response process of Chl a to physical changes, which reveals interannual variability of anomalous low Chl a values corresponding to strong El Ni o (1997-1998), high values corresponding to strong La Ni a (1999-2000), low Chl a corresponding to moderate El Ni o (2001-2003), upward Chl a after warm event in 2005 off the east coast of Vietnam. The variability of Chl a in nearshore and the Mekong River Estuary (MER) waters also suggests its response to these warm or cold processes. Considering the evidence for covariabilities between Chl a and sea surface temperature, winds, height anomaly (upwelling or downwelling), cold waters input and strong winds mixing may play important roles in the spatial and temporal variability of high Chl a. Such research activities could be very important to gain a mechanistic understanding of ecosystem responses to the climate change in the SCS. | GAO Shan WANG Hui LIU Guimei LI Hai | 2013 | Acta Oceanologica Sinica2013，32，1： | 3 |
| 13 | Influence of annealing on the microwave-absorption properties of Ni/TiO 2 nanocomposites显示文摘 | Naikun Sun Baosheng Du Feng Liu Pingzhan Si Meixing Zhao Xueyuan Zhang GuiMei Shi | 2013 | Journal of Alloys and Compounds2013，，： | 1 |
| 14 | Single-Atom Pd–N_(3)Sites on Carbon-Defi cient g-C_(3)N_(4)for Photocatalytic H_(2)Evolution显示文摘Photocatalytic hydrogen evolution is an attractive fi eld for future environment-friendly energy.However,fast recombination of photogenerated charges severely inhibits hydrogen effi ciency.Single-atom cocatalysts such as Pt have emerged as an eff ective method to enhance the photocatalytic activity by introduction of active sites and boosting charge separation with low-coordination environment.Herein,we demonstrated a new strategy to develop a highly active Pd single atom in carbondefi cient g-C_(3)N_(4)with a unique coordination.The single-atom Pd–N_(3)sites constructed by oil bath heating and photoreduction process were confi rmed by HADDF-STEM and XPS measurements.Introduction of single-atom Pd greatly improved the separation and transportation of charge carriers,leading to a longer lifespan for consequent reactions.The obtained singleatom Pd loaded on the carbon-defi cient g-C_(3)N_(4)showed excellent photocatalytic activity in hydrogen production with about 24 and 4 times higher activity than that of g-C_(3)N_(4)and nano-sized Pd on the same support,respectively.This work provides a new insight on the design of single-atom catalyst. | Guimei Liu Haiqin Lv Yubin Zeng Mingzhe Yuan Qingguo Meng Yuanhao Wang Chuanyi Wang | 2021 | Transactions of Tianjin University2021，27，2： | 1 |
| 15 | Dual-band Loop-Dipole composite unidirectional antenna for broad- band wireless communications 显示文摘 | LU Wenjun LIU Guimei TONG K F | 2014 | IEEE Transactions on Antennas and Propagation2014，62，5： | 1 |
| 16 | Complex discovery from weighted PPI networks 显示文摘 | LIU Guimei WONG L CHUA H N | 2009 | Bioinformaties2009，25，15： | 1 |
| 17 | Spatiotemporal variation and mechanisms of temperature inversion in the Bay of Bengal and the eastern equatorial Indian Ocean显示文摘In the northern Bay of Bengal,the existence of intense temperature inversion during winter is a widely accepted phenomenon.However,occurrences of temperature inversion during other seasons and the spatial distribution within and adjacent to the Bay of Bengal are not well understood.In this study,a higher resolution spatiotemporal variation of temperature inversion and its mechanisms are examined with mixed layer heat and salt budget analysis utilizing long-term Argo(2004 to 2020)and RAMA(2007 to 2020)profiles data in the Bay of Bengal and eastern equatorial Indian Ocean(EEIO).Temperature inversion exists(17.5%of the total 39293 Argo and 51.6%of the 28894 RAMA profiles)throughout the year in the entire study area.It shows strong seasonal variation,with the highest occurrences in winter and the lowest in spring.Besides winter inversion in the northern Bay of Bengal,two other regions with frequent temperature inversion are identified in this study for the first time:the northeastern part of the Bay of Bengal and the eastern part of the EEIO during summer and autumn.Driving processes of temperature inversion for different subregions are revealed in the current study.Penetration of heat(mean~25 W/m;)below the haline-stratified shallow mixed layer leads to a relatively warmer subsurface layer along with the simultaneous cooling tendency in mixed layer,which controls more occurrence of temperature inversion in the northern Bay of Bengal throughout the year.Comparatively lower cooling tendency due to net surface heat loss and higher mixed layer salinity leaves the southern part of the bay less supportive to the formation of temperature inversion than the northern bay.In the EEIO,slightly cooling tendency in the mixed layer along with the subduction of warm-salty Arabian Sea water beneath the cold-fresher Bay of Bengal water,and downwelling of thermocline creates a favorable environment for forming temperature inversion mainly during summer and autumn.Deeper isothermal layer depth,and thicker barrier layer thickness intensify the temperature inversion both in the Bay of Bengal and EEIO. | K M Azam Chowdhury Wensheng Jiang Guimei Liu Md Kawser Ahmed Shaila Akhter | 2022 | Acta Oceanologica Sinica2022，41，4： | 1 |
| 18 | Seasonal andinterannual variability of carbon cycle in South China Sea: athree-dimensional physical-biogeochemical modeling study显示文摘 | CHAI FEI LIU GUIMEI XUE HUIJIE 2009 | 2009 | Journal of Oceanography2009，65，5： | 1 |
| 19 | Influence of Surfactant Surface Coverage and Aging Time on Physical Properties of Silica Nanoparticles显示文摘 | Gao Guimei Zou Haifeng Liu Darui | 2009 | Colloids and Surfaces2009，350，： | 1 |
| 20 | Complex dis- covery from weighted PPI networks 显示文摘 | Liu Guimei Wong Limsoon Chua Honnian | 2009 | Bioinformatics2009，25，15： | 1 |
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